Search results for "Text Simplification"

showing 3 items of 13 documents

Deep neural attention-based model for the evaluation of italian sentences complexity

2020

In this paper, the Automatic Text Complexity Evaluation problem is modeled as a binary classification task tackled by a Neural Network based system. It exploits Recurrent Neural Units and the Attention mechanism to measure the complexity of sentences written in the Italian language. An accurate test phase has been carried out, and the system has been compared with state-of-art tools that tackle the same problem. The computed performances proof the model suitability to evaluate sentence complexity improving the results achieved by other state-of-the-art systems.

050101 languages & linguisticsExploitComputer science02 engineering and technologyText complexity evaluationMachine learningcomputer.software_genreTask (project management)Text Simplification0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMeasure (data warehouse)Deep Neural NetworksArtificial neural networkSettore INF/01 - Informaticabusiness.industryItalian languageNatural language processing05 social sciencesComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Deep learningText ComplexityBinary classification020201 artificial intelligence & image processingArtificial intelligenceTest phasebusinesscomputerSentence
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A Controllable Text Simplification System for the Italian Language

2021

Text simplification is a non-trivial task that aims at reducing the linguistic complexity of written texts. Researchers have studied the problem by proposing new methodologies for addressing the English language, but other languages, like the Italian one, are almost unexplored. In this paper, we give a contribution to the enhancement of the Automated Text Simplification research by presenting a deep learning-based system, inspired by a state of the art system for the English language, capable of simplifying Italian texts. The system has been trained and tested by leveraging the Italian version of Newsela; it has shown promising results by achieving a SARI value of 30.17.

Text simplificationComputer scienceText simplification02 engineering and technologyEnglish languagecomputer.software_genreTask (project management)03 medical and health sciences0302 clinical medicineLinguistic sequence complexityDeep Learning0202 electrical engineering electronic engineering information engineeringValue (semiotics)Natural Language ProcessingSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniDeep Neural NetworksSettore INF/01 - Informaticabusiness.industryDeep learningItalian language030221 ophthalmology & optometryComputingMethodologies_DOCUMENTANDTEXTPROCESSING020201 artificial intelligence & image processingArtificial intelligenceState (computer science)businesscomputerNatural language processing
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Improving Communication in Risk Management of Health Information Technology Systems by means of Medical Text Simplification

2019

Health Information Technology Systems (HITS) are increasingly used to improve the quality of patient care while reducing costs. These systems have been developed in response to the changing models of care to an ongoing relationship between patient and care team, supported by the use of technology due to the increased instance of chronic disease. However, the use of HITS may increase the risk to patient safety and security. While standards can be used to address and manage these risks, significant communication problems exist between experts working in different departments. These departments operate in silos often leading to communication breakdowns. For example, risk management stakeholder…

Care processInteractive computer systemsMedical terminologyHealth information technologyText simplificationComputer sciencemedia_common.quotation_subjectKnowledge management02 engineering and technologyInformation technologyPatient safetyOrder (exchange)Computer securityPatient Empowerment; Health Information Seeking; User Requirements; Risk Management; IEC 80001-1; Medical Terminology Simplification;Machine learning0202 electrical engineering electronic engineering information engineeringInformation retrievalQuality (business)Risk managementComputer networksmedia_commonEstimationRisk ManagementSettore INF/01 - Informaticabusiness.industryCommunication020206 networking & telecommunications020207 software engineeringMedical Terminology SimplificationWorld Wide WebEducational technologyChronic diseaseRisk analysis (engineering)HealthbusinessIEC 80001-1Machine translating
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